Lana Klein, Co-Founder, 4i
Demand forecasting is one of the most challenging fields of predictive analytics. This is a reality that is industry agnostic – true across finance, health care, and consumer goods and retail. This will not come as a surprise to business decision makers and data scientists working hard to leverage that information. While each industry has
In anticipation of his upcoming conference presentation, Applied Predictive Analytics to Workload Automation, at Predictive Analytics World Chicago, June 8-11, 2015, we asked Arcangelo Di Balsamo, IBM Workload Automation Chief Architect at IBM, a few questions about...
In anticipation of his upcoming conference presentation, The Revolution in Retail Customer Intelligence, at Predictive Analytics World Chicago, June 8-11, 2015, we asked Dean Abbott, Co-Founder and Chief Data Scientist of Smarter Remarketer, a few questions about...
By: Richard Boire, Conference Chair, Predictive Analytics World Toronto, Founding Partner, Boire Filler Group
The world of sports has seen exponential increases in costs primarily due to salaries. To truly appreciate this fact, I had a distant relative in the NHL who in 1980 earned approximately 80K. Meanwhile, the average household...
By: Sue Lam, human capital management (HCM) research specialist, APQC
As a trained researcher, I’ve always been fascinated with using quantitative methods to predict human behavior in a number of settings. Although different business functions such as finance, logistics, and marketing are more mature in their use...
By: Sue Lam, APQC
This interview is the second in a series on workforce predictive analytics. APQC interviewed John Callery, Director of People Analytics at AOL. In this role, he focuses on building a predictive analytics team to ensure talent-related decisions...
By: Todd Grabowsky, Data Scientist, Elder Research, Inc.
“Numbers have an important story to tell. They rely on you to give them a clear and convincing voice.” –Stephen Few Every data scientist bears the burden of clearly and convincingly communicating results to a client or...
Dean Abbott
SmarterHQ and Abbott Analytics
In most lists of the most popular software for doing data analysis, statistics, and predictive modeling, the top software tools are Python and R—command line languages rather than GUI-based modeling packages. There are several reasons for this,...
In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, How AOL is Using Predictive Analytics as a Strategic HR Solution, we interviewed John Callery, Director of People Analytics at AOL, Inc. View the Q-and-A below to see how...
I recently won first place in the Nexar Traffic Light Recognition Challenge, computer vision competition organized by a company that’s building an AI dash cam app. In this post, I’ll describe the solution I used. I’ll also...
 |
 |
 |
The Machine Learning Times © 2020 • 1221 State Street • Suite 12, 91940 •
Santa Barbara, CA 93190
Produced by: Rising Media & Prediction Impact